An oil and gas field new energy power grid broadband resonance and harmonic distortion evaluation and management method

Abstract

The present application relates to the technical field of new energy power generation and distribution network stability control, and specifically relates to a method for evaluating and treating wideband resonance and harmonic distortion of oil and gas field new energy power grid. The present application can realize integrated and collaborative treatment of wideband resonance and harmonic distortion of oil and gas field new energy power grid. By building a full-band power grid impedance model and combining a resonance risk quantitative evaluation algorithm, the present application can make a pre-judgment and active suppression of resonance risk. The present application uses a distributed harmonic collaborative treatment algorithm, dynamically allocates treatment weights according to the harmonic pollution degree and equipment capacity of each node, which can greatly improve the harmonic treatment accuracy and effectively reduce the power grid harmonic distortion rate. The present application constructs a closed-loop verification and dynamic adjustment mechanism, which can correct the treatment parameters in real time by comprehensive treatment error, and can adapt to the complex working conditions of oil and gas field new energy, realize dynamic iterative optimization of power grid treatment strategy, and greatly improve the working condition adaptability and operation reliability of oil and gas field new energy power grid.

Description

Technical Field

[0001] This invention relates to the field of new energy power generation and distribution network stability control technology, specifically to a method for assessing and mitigating broadband resonance and harmonic distortion in oil and gas field new energy power grids. Background Technology

[0002] With the large-scale integration of photovoltaic power generation and energy storage systems into the power distribution networks of oil and gas fields, and the widespread adoption of frequency converters in oil and gas field production equipment, the degree of power electronics in the power grid has increased significantly. This has brought two major challenges to the power quality and operational stability of traditional oil and gas field power distribution networks. The first is the broadband resonance problem. Renewable energy converters and energy storage converters are impedance-coupled with the power grid, which can easily generate resonance in the 20Hz~10kHz wide frequency band, causing grid voltage oscillations and equipment overload tripping, seriously affecting continuous oil and gas field production. The second is the harmonic distortion problem. The operation of a large number of frequency converters and power electronic devices will generate 3rd, 5th, and 7th low-order harmonics and high-order harmonics, causing grid waveform distortion, equipment heat loss, and metering accuracy distortion.

[0003] Existing power quality management technologies for oil and gas field power grids have significant shortcomings: First, the management model is singular, targeting only a single resonant frequency band or fixed-order harmonics, failing to achieve integrated and coordinated control of broadband resonance and harmonic distortion; second, there is a lack of a pre-risk assessment mechanism, with most adopting a passive management model after a fault, making it impossible to predict resonance risks in advance; third, the management strategies are rigid, failing to adapt to the intermittent fluctuations in oil and gas field loads and the random changes in new energy output, resulting in poor dynamic adaptability; fourth, there is no closed-loop verification and adjustment mechanism, meaning management parameters cannot be dynamically updated with power grid operating conditions, leading to a continuous decline in long-term management accuracy, making it difficult to meet the stringent requirements of high grid stability and high power quality for safe production in oil and gas fields. Summary of the Invention

[0004] The technical problem to be solved by this invention is to provide a method for assessing and managing broadband resonance and harmonic distortion in oil and gas field new energy power grids, which can realize broadband resonance pre-judgment, distributed collaborative management of harmonic distortion, and closed-loop dynamic control under all operating conditions, thereby comprehensively improving the stability and power quality of oil and gas field new energy power grids.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: This invention provides a method for assessing and mitigating broadband resonance and harmonic distortion in oil and gas field new energy power grids, mainly comprising the following steps: S1, Data Acquisition and Power Grid Model Establishment: Real-time acquisition of voltage, current, line impedance, new energy output, energy storage operation parameters and frequency conversion load parameters of the oil and gas field new energy power grid, and establishment of a multi-node coupled broadband impedance model of the power grid based on the acquired data; S2, Wideband Resonance Risk Pre-assessment and Suppression Design: Based on the wideband impedance model, the impedance characteristics of the entire frequency band are scanned, the resonance risk level is determined by the resonance risk quantification assessment algorithm, and the damping parameters are adaptively tuned for the medium and high risk frequency bands to complete the wideband resonance pre-suppression. S3, Distributed Collaborative Governance of Harmonic Distortion: Accurately identify the harmonic components of each node through wavelet transform, construct a harmonic collaborative weighting algorithm based on the harmonic pollution degree of the node and the capacity of the governance equipment, distribute the harmonic governance tasks, and achieve precise governance of harmonic distortion across the entire domain. S4, Closed-loop verification and dynamic adjustment: Real-time acquisition of power grid operation data after the treatment, completion of closed-loop verification through closed-loop error verification algorithm, and dynamic iteration optimization of resonance suppression parameters and harmonic treatment parameters based on error results to adapt to dynamic changes in power grid operating conditions.

[0006] Preferably, in step S1, the multi-node coupled broadband impedance model of the power grid is as follows:

[0007] In the formula, For frequency The total coupling impedance of the power grid under the current conditions, For the power grid side wideband impedance, For wideband impedance of new energy converters, It is the wideband impedance for variable frequency loads in oil and gas fields.

[0008] Preferably, in step S2, the resonance risk quantification assessment algorithm is as follows:

[0009] In the formula, For frequency The corresponding resonance risk coefficient, This is the component of the total resistance. For the total reactance component, The phase angle is the total impedance.

[0010] Preferably, in step S2, determining the resonance risk level includes setting a risk threshold: ≤0.3 indicates low risk, 0.3 < A value ≤ 0.7 indicates a medium risk. A value greater than 0.7 indicates a high risk; resonance suppression is only performed on medium- and high-risk frequency bands, while low-risk frequency bands are continuously monitored and warned.

[0011] Preferably, in step S2, the adaptive tuning of the damping parameters specifically includes: S21, Damping parameter initialization: Based on the rated parameters of the new energy converters and energy storage converters in oil and gas fields, the reference range for the damping coefficient is initialized, and the initial value range of the damping coefficient is set. ,in, This is the minimum allowable damping coefficient of the equipment. This is the maximum safety damping coefficient of the equipment; S22, Resonant Pole Identification: For high-risk resonant frequency points, the poles of the closed-loop transfer function of the power grid system are extracted, and the weakly damped poles that trigger resonance are located. ,in, The target resonant frequency; S23, Adaptive iterative optimization of damping coefficient: Based on the correlation between system damping ratio and resonance suppression, an optimal damping coefficient solution formula is constructed, and the optimal damping coefficient adapted to the current power grid operating conditions is iteratively solved. The specific solution formula for the optimal damping coefficient is as follows:

[0012] In the formula, Resonant frequency The corresponding optimal damping coefficient, The initial reference damping coefficient, This is the convergence coefficient for the iteration step size (values ​​range from 0.1 to 0.5). The target frequency band resonance risk coefficient. For the resonant safety threshold, This represents the adjustment amount of the damping coefficient in a single iteration.

[0013] Preferably, in step S3, the accurate identification of harmonic components at each node through wavelet transform includes: 1) Calculation of harmonic amplitude:

[0014] In the formula, Let h be the amplitude of the h-th harmonic (h takes positive integer values ​​of 3, 5, 7, 9, etc.). Let h be the effective value of the real part of the h-th harmonic. The effective value of the imaginary part of the h-th harmonic; 2) Calculation of Total Harmonic Distortion (THD):

[0015] In the formula, H represents the effective value of the fundamental frequency amplitude of the power grid, and H represents the highest harmonic analysis order.

[0016] Preferably, in step S3, the harmonic cooperative weighting algorithm is as follows:

[0017] In the formula, Let i be the collaborative weight of the i-th governance node. Let be the total harmonic distortion of the i-th node. Let n be the rated governance capacity of the governance equipment at node i, and n be the total number of power grid governance nodes. Based on the calculated collaborative weight values ​​of each node, the harmonic mitigation output power of the active power filter and static var generator of each node is allocated.

[0018] Preferably, in step S4, the closed-loop error verification algorithm is as follows:

[0019] In the formula, To comprehensively manage errors, For real-time harmonic distortion rate, The preset standard harmonic distortion threshold, The real-time resonance risk coefficient. The threshold for resonant safety risk; when When the error is greater than 0, the governance parameters are iteratively optimized step by step until the error returns to zero, thereby achieving the dynamic optimal governance effect.

[0020] Compared with the prior art, the present invention has the following main advantages: 1. This invention can achieve integrated and coordinated management of broadband resonance and harmonic distortion in the new energy power grid of oil and gas fields. By building a full-band power grid impedance model and combining it with a resonance risk quantification assessment algorithm, it can perform pre-judgment and active suppression of resonance risks, breaking through the limitations of traditional single-technology management. It can avoid power grid resonance oscillation and equipment tripping failures from the source, and effectively ensure the continuous and stable power supply of the oil and gas field production power grid.

[0021] 2. This invention adopts a distributed harmonic collaborative governance algorithm, which dynamically allocates governance weights based on the degree of harmonic pollution and equipment capacity of each node. This solves the industry pain points of multi-node harmonic dispersion, uneven governance, and redundant overload in oil and gas fields. It can significantly improve the accuracy of harmonic governance, effectively reduce the harmonic distortion rate of the power grid, reduce harmonic losses, heat generation and aging of power equipment, extend the service life of power grid equipment, and reduce the operation and maintenance costs and equipment replacement costs of oil and gas field power grids.

[0022] 3. This invention constructs a closed-loop verification and dynamic adjustment mechanism, which corrects the governance parameters in real time by comprehensively managing errors. It can adaptively adapt to the complex operating conditions of random power output and frequent switching of production loads in oil and gas fields, realize dynamic iterative optimization of power grid governance strategies, and significantly improve the operating condition adaptability and operational reliability of oil and gas field new energy power grids. Attached Figure Description

[0023] Figure 1This is a schematic diagram of the overall process of the method for assessing and mitigating broadband resonance and harmonic distortion in oil and gas field new energy power grids according to the present invention. Figure 2 This is a schematic flowchart of the broadband resonance pre-suppression method in an embodiment of the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0025] It should be noted that, depending on the implementation needs, the various steps / components described in this application can be broken down into more steps / components, or two or more steps / components or parts of the operation of steps / components can be combined into new steps / components to achieve the purpose of this invention.

[0026] In this invention, unless otherwise expressly specified and limited, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise expressly and specifically limited.

[0027] Example 1: This example provides a method for assessing and mitigating broadband resonance and harmonic distortion in oil and gas field new energy power grids, such as... Figure 1 As shown, the specific steps include the following: Step S1: Data Acquisition and Power Grid Model Establishment By deploying high-precision acquisition terminals at oil and gas field power grid busbars, new energy grid connection points, and frequency converter load nodes, real-time basic data of power grid operation is collected, including three-phase voltage, three-phase current, line impedance, real-time output of new energy, energy storage charging and discharging power, frequency converter operating parameters, and power grid load fluctuation data. The acquisition frequency is set to 10kHz. Based on the collected data, a broadband impedance model of the oil and gas field new energy power grid is built, distinguishing between grid-side impedance, new energy converter-side impedance, and load-side impedance, and constructing a multi-node coupled impedance matrix.

[0028] The broadband impedance model for the power grid is as follows:

[0029] In the formula, For frequency The total coupling impedance of the power grid under the current conditions, For the power grid side wideband impedance, For wideband impedance of new energy converters, It is a wideband impedance for variable frequency loads in oil and gas fields, with the value of f ranging from 20Hz to 10kHz, fully covering the resonant frequency band of the oil and gas field power grid.

[0030] Step S2: Wideband Resonance Risk Pre-assessment and Suppression Design Based on the broadband impedance model built in step S1, the preset impedance frequency scanning algorithm traverses the entire frequency band from 20Hz to 10kHz, calculates the impedance amplitude-frequency characteristics and phase-frequency characteristics at each frequency, and accurately classifies the risk level and determines the resonance risk point based on the resonance risk quantification assessment algorithm. When the system impedance phase difference approaches 0° and the impedance amplitude reaches a peak, the frequency point is determined to be the resonance frequency point.

[0031] The specific algorithm for quantifying and assessing resonance risk is as follows:

[0032] In the formula, For frequency The corresponding resonance risk coefficient, This is the component of the total resistance. For the total reactance component, The phase angle is the total impedance; simultaneously, a risk threshold is set. ≤0.3 indicates low risk, 0.3 < A value ≤ 0.7 indicates a medium risk. A value greater than 0.7 indicates a high risk.

[0033] Furthermore, for the identified medium- and high-risk resonant frequency bands, an active damping parameter adaptive tuning algorithm is used to achieve broadband resonance pre-suppression, such as... Figure 2 As shown, it specifically includes: S21, Damping parameter initialization: Based on the rated parameters of the new energy converters and energy storage converters in oil and gas fields, the reference range for the damping coefficient is initialized, and the initial value range of the damping coefficient is set. ,in, This is the minimum allowable damping coefficient of the equipment. This is the maximum safety damping coefficient of the equipment; S22, Resonant Pole Identification: For high-risk resonant frequency points, the poles of the closed-loop transfer function of the power grid system are extracted, and the weakly damped poles that trigger resonance are located. ,in, The target resonant frequency; S23, Adaptive iterative optimization of damping coefficient: Based on the correlation between system damping ratio and resonance suppression, an optimal damping coefficient solution formula is constructed, and the optimal damping coefficient adapted to the current power grid operating conditions is iteratively solved. The specific solution formula for the optimal damping coefficient is as follows:

[0034] In the formula, Resonant frequency The corresponding optimal damping coefficient, The initial reference damping coefficient, This is the convergence coefficient for the iteration step size (values ​​range from 0.1 to 0.5). The target frequency band resonance risk coefficient. For the resonant safety threshold, This represents the adjustment amount of the damping coefficient in a single iteration.

[0035] Step S3, Distributed Collaborative Governance of Harmonic Distortion The wavelet transform algorithm is used to decompose the voltage and current waveform data of the power grid, and to solve for the amplitude of each harmonic and the total harmonic distortion (THD) at each node. Specifically, this includes: 1) Calculation of harmonic amplitude:

[0036] In the formula, Let h be the amplitude of the h-th harmonic (h takes positive integer values ​​of 3, 5, 7, 9, etc.). Let h be the effective value of the real part of the h-th harmonic. The effective value of the imaginary part of the h-th harmonic; 2) Calculation of Total Harmonic Distortion (THD):

[0037] In the formula, H represents the effective value of the fundamental amplitude of the power grid, and H is the highest harmonic analysis order. In this method, H=50 is taken to fully cover the high and low frequency harmonic components of the oil and gas field power grid.

[0038] Furthermore, after calculating and determining the harmonic distortion parameters of each node, a distributed collaborative governance architecture is built to address the multi-node harmonic dispersion characteristics of the oil and gas field power grid. Based on the harmonic collaborative weighting algorithm, the harmonic governance tasks are allocated using the degree of harmonic pollution and the equipment governance capacity of each node as weights, thus avoiding the problems of single-point governance overload and multi-point governance redundancy.

[0039] The harmonic collaborative weighting algorithm is as follows:

[0040] In the formula, Let i be the collaborative weight of the i-th governance node. Let be the total harmonic distortion of the i-th node. Let be the rated capacity of the governance equipment at node i, and n be the total number of governance nodes in the power grid. Based on the weighted allocation of the governance output of the active power filter and the static var generator, the overall harmonic distortion balance and precise governance are achieved, controlling the total harmonic distortion rate of the power grid within the target preset range (5%).

[0041] Step S4, Closed-loop verification and dynamic adjustment Real-time data on the resonant state and harmonic distortion of the power grid after treatment are collected and compared with preset safety thresholds to conduct closed-loop error verification.

[0042] The deviation between the actual treatment effect and the preset standard value is determined based on the closed-loop error verification algorithm, and the resonant damping parameters and harmonic treatment output parameters are dynamically adjusted based on the deviation. At the same time, the fluctuation of new energy output and production load switching conditions in oil and gas fields are tracked in real time, and the power grid impedance model and treatment strategy are updated adaptively to achieve dynamic closed-loop control under all operating conditions.

[0043] The closed-loop error verification algorithm is as follows:

[0044] In the formula, To comprehensively manage errors, For real-time harmonic distortion rate, The preset standard harmonic distortion threshold, The real-time resonance risk coefficient. For resonance safety risk threshold; when When the error is greater than 0, the governance parameters are iteratively optimized step by step until the error returns to zero, thereby achieving the dynamic optimal governance effect.

[0045] Example 2: This example provides a method for assessing and mitigating broadband resonance and harmonic distortion in a new energy power grid for oil and gas fields, taking a new energy distribution network in an oil and gas field as an example. First, data on grid impedance, voltage, current, renewable energy output, and load were collected at a frequency of 10kHz using a data acquisition terminal. A broadband grid model was then built based on the total coupling impedance formula. Subsequently, impedance scanning was performed in the 20Hz~10kHz frequency band. The risk of each frequency band was quantified using the resonance risk coefficient formula, and two high-risk resonance frequency bands, 350Hz and 2800Hz, were identified. Resonance suppression was achieved through adaptive damping tuning.

[0046] Furthermore, wavelet transform is used to decompose the harmonic components of each node, the total harmonic distortion rate of each node is calculated, and the treatment output of 8 active power filters is allocated through a collaborative weighting algorithm to complete the full-domain harmonic treatment.

[0047] Finally, real-time data collection after treatment is used to dynamically correct treatment parameters through a closed-loop error verification formula, thereby continuously optimizing the treatment effect.

[0048] After implementation, the risk of broadband resonance in the oil and gas field's power grid was completely eliminated, the total harmonic distortion rate was stably controlled within 3.2%, there were no grid oscillations or tripping faults, and equipment operation and maintenance losses were reduced by 25%, which can meet the power grid operation requirements for safe production in the oil and gas field.

[0049] Example 3: Based on the same inventive concept, this example also provides an oil and gas field electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the broadband resonance and harmonic distortion assessment and mitigation method for oil and gas field new energy power grids as described above.

[0050] Example 4: Based on the same inventive concept, this example also provides a non-transitory readable storage medium on which a program is stored. When the program is executed by oil and gas field electronic equipment, it implements the broadband resonance and harmonic distortion assessment and mitigation method for oil and gas field new energy power grids as described above.

[0051] Furthermore, all parts of this application that are not described in detail are the same as or implemented using existing technology.

[0052] In summary: 1. This invention can achieve integrated and coordinated management of broadband resonance and harmonic distortion in the new energy power grid of oil and gas fields. By building a full-band power grid impedance model and combining it with a resonance risk quantification assessment algorithm, it can perform pre-judgment and active suppression of resonance risks, breaking through the limitations of traditional single-technology management. It can avoid power grid resonance oscillation and equipment tripping failures from the source, and effectively ensure the continuous and stable power supply of the oil and gas field production power grid.

[0053] 2. This invention adopts a distributed harmonic collaborative governance algorithm, which dynamically allocates governance weights based on the degree of harmonic pollution and equipment capacity of each node. This solves the industry pain points of multi-node harmonic dispersion, uneven governance, and redundant overload in oil and gas fields. It can significantly improve the accuracy of harmonic governance, effectively reduce the harmonic distortion rate of the power grid, reduce harmonic losses, heat generation and aging of power equipment, extend the service life of power grid equipment, and reduce the operation and maintenance costs and equipment replacement costs of oil and gas field power grids.

[0054] 3. This invention constructs a closed-loop verification and dynamic adjustment mechanism, which corrects the governance parameters in real time by comprehensively managing errors. It can adaptively adapt to the complex operating conditions of random power output and frequent switching of production loads in oil and gas fields, realize dynamic iterative optimization of power grid governance strategies, and significantly improve the operating condition adaptability and operational reliability of oil and gas field new energy power grids.

[0055] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0056] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0057] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for assessing and mitigating broadband resonance and harmonic distortion in oil and gas field new energy power grids, characterized in that, Includes the following steps: S1, Data Acquisition and Power Grid Model Establishment: Real-time acquisition of voltage, current, line impedance, new energy output, energy storage operation parameters and frequency conversion load parameters of the oil and gas field new energy power grid, and establishment of a multi-node coupled broadband impedance model of the power grid based on the acquired data; S2, Wideband Resonance Risk Pre-assessment and Suppression Design: Based on the wideband impedance model, the impedance characteristics of the entire frequency band are scanned, the resonance risk level is determined by the resonance risk quantification assessment algorithm, and the damping parameters are adaptively tuned for the medium and high risk frequency bands to complete the wideband resonance pre-suppression. S3, Distributed Collaborative Governance of Harmonic Distortion: Accurately identify the harmonic components of each node through wavelet transform, construct a harmonic collaborative weighting algorithm based on the harmonic pollution degree of the node and the capacity of the governance equipment, distribute the harmonic governance tasks, and achieve precise governance of harmonic distortion across the entire domain. S4, Closed-loop verification and dynamic adjustment: Real-time acquisition of power grid operation data after the treatment, completion of closed-loop verification through closed-loop error verification algorithm, and dynamic iteration optimization of resonance suppression parameters and harmonic treatment parameters based on error results to adapt to dynamic changes in power grid operating conditions.

2. The method for assessing and mitigating broadband resonance and harmonic distortion in oil and gas field new energy power grids according to claim 1, characterized in that... In step S1, the multi-node coupled broadband impedance model of the power grid is as follows: In the formula, For frequency The total coupling impedance of the power grid under the current conditions, For the power grid side wideband impedance, For wideband impedance of new energy converters, It is the wideband impedance for variable frequency loads in oil and gas fields.

3. The method for assessing and mitigating broadband resonance and harmonic distortion in a new energy power grid for oil and gas fields according to claim 1, characterized in that... In step S2, the resonance risk quantification assessment algorithm is as follows: In the formula, For frequency The corresponding resonance risk coefficient, This is the component of the total resistance. For the total reactance component, The phase angle is the total impedance.

4. The method for assessing and mitigating broadband resonance and harmonic distortion in a new energy power grid for oil and gas fields according to claim 3, characterized in that... In step S2, determining the resonance risk level includes setting a risk threshold: ≤0.3 indicates low risk, 0.3 < A value ≤ 0.7 indicates a medium risk. A value greater than 0.7 indicates a high risk; resonance suppression is only performed on medium- and high-risk frequency bands, while low-risk frequency bands are continuously monitored and warned.

5. The method for assessing and mitigating broadband resonance and harmonic distortion in a new energy power grid for oil and gas fields according to claim 4, characterized in that... In step S2, the adaptive tuning of the damping parameters specifically includes: S21, Damping parameter initialization: Based on the rated parameters of the new energy converters and energy storage converters in oil and gas fields, the reference range for the damping coefficient is initialized, and the initial value range of the damping coefficient is set. ,in, This is the minimum permissible damping coefficient of the equipment. This is the maximum safety damping coefficient of the equipment; S22, Resonant Pole Identification: For high-risk resonant frequency points, the poles of the closed-loop transfer function of the power grid system are extracted, and the weakly damped poles that trigger resonance are located. ,in, The target resonant frequency; S23, Adaptive iterative optimization of damping coefficient: Based on the correlation between system damping ratio and resonance suppression, an optimal damping coefficient solution formula is constructed, and the optimal damping coefficient adapted to the current power grid operating conditions is iteratively solved. The specific solution formula for the optimal damping coefficient is as follows: In the formula, Resonant frequency The corresponding optimal damping coefficient, The initial reference damping coefficient, This is the convergence coefficient for the iteration step size (values ​​range from 0.1 to 0.5). The target frequency band resonance risk coefficient. For the resonant safety threshold, This represents the adjustment amount of the damping coefficient in a single iteration.

6. The method for assessing and mitigating broadband resonance and harmonic distortion in a new energy power grid for oil and gas fields according to claim 1, characterized in that... In step S3, the accurate identification of harmonic components at each node through wavelet transform includes: 1) Calculation of harmonic amplitude: In the formula, Let h be the amplitude of the h-th harmonic (h takes positive integer values ​​of 3, 5, 7, 9, etc.). Let h be the effective value of the real part of the h-th harmonic. This represents the effective value of the imaginary part of the h-th harmonic. 2) Calculation of Total Harmonic Distortion (THD): In the formula, H represents the effective value of the fundamental frequency amplitude of the power grid, and H represents the highest harmonic analysis order.

7. The method for assessing and mitigating broadband resonance and harmonic distortion in a new energy power grid for oil and gas fields according to claim 6, characterized in that... In step S3, the harmonic collaborative weighting algorithm is as follows: In the formula, Let i be the collaborative weight of the i-th governance node. Let be the total harmonic distortion of the i-th node. Let n be the rated capacity of the governance equipment at node i, and n be the total number of power grid governance nodes. Based on the calculated collaborative weight values ​​of each node, the harmonic mitigation output power of the active power filter and static var generator of each node is allocated.

8. The method for assessing and mitigating broadband resonance and harmonic distortion in a new energy power grid for oil and gas fields according to claim 1, characterized in that... In step S4, the closed-loop error verification algorithm is as follows: In the formula, To comprehensively address errors, For real-time harmonic distortion rate, The preset standard harmonic distortion threshold, The real-time resonance risk coefficient. The threshold for resonant safety risk; when When the error is greater than 0, the governance parameters are iteratively optimized step by step until the error returns to zero, thereby achieving the dynamic optimal governance effect.

9. An electronic device for oil and gas fields, comprising a memory, a processor, and a program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the broadband resonance and harmonic distortion assessment and mitigation method for oil and gas field new energy power grids as described in any one of claims 1 to 8.

10. A non-transitory readable storage medium having a program stored thereon, characterized in that, When executed by oil and gas field electronic equipment, the program implements the broadband resonance and harmonic distortion assessment and mitigation method for oil and gas field new energy power grids as described in any one of claims 1 to 8.

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